Fast indexing and searching for content-based image retrieval

J. You, H. Shen

研究成果: Conference article同行評審

2 引文 斯高帕斯(Scopus)


This paper presents a general approach to fast image indexing and searching for content-based image retrieval on a network of workstation clusters. Three primary issues in image retrieval are discussed: image feature extraction and representation, similarity measure, and searching methods. A wavelet based image feature extraction scheme is introduced to represent images with multiple features such as colours, textures and shapes. In addition, a feature component code is proposed to facilitate a dynamic image indexing scheme where images are queried by different features or combinations. Furthermore, the relevance feedback technique for information retrieval is used to convert image feature vectors to weight-term vectors for efficient searching.

頁(從 - 到)212-218
期刊Proceedings of SPIE - The International Society for Optical Engineering
出版狀態Published - 6 7月 1998
事件Visual Information Processing VII 1998 - Orlando, United States
持續時間: 13 4月 199817 4月 1998


深入研究「Fast indexing and searching for content-based image retrieval」主題。共同形成了獨特的指紋。